Fundamentals of Data Science: Transforming Data into Action

  • Data
  • Information
  • Knowledge
  • Intelligence
  • Action

Methodologies

  • Statistical analysis
  • Regression
  • Classification
  • Clustering
  • Time series analysis
  • Anomaly detection
  • NLP
  • Distributed ML
  • Graph analysis
  • Recommender systems
  • Neural networks / Deep learning

Data Science Pipeline

  1. Planning
  2. Acquisition
  3. Preparation
  4. Exploration
  5. Modeling
  6. Delivery
  7. Maintenance

Published by

Ednalyn C. De Dios

I’ve always been enamored with code and I love data science because of its inherent power to solve real problems. Having grown up in the Philippines, served in the United States Navy, and worked in the nonprofit sector, I am driven to make the world a better place. I have started and participated in numerous campaigns that aim to reduce domestic violence and child abuse in the community.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.